This paper develops a new approach to surface modeling and reconstruction which overcomes some important limitations of existing surface representation methods, such as their tendency to impose restrictive assumptions about object topology. The approach features two components. The first is a dynamic, self-organizing, oriented particle system which discovers topological and geometric surface st...

Texture classification is one of the problems which has been paid much attention on by computer scientists since late 90s. If texture classification is done correctly and accurately, it can be used in many cases such as Pattern recognition, object tracking, and shape recognition. So far, there have been so many methods offered to solve this problem. Near all these methods have tried to extract ...

The recession beginning in 2008 caused many unprecedented difficulties for sustaining police workforces throughout the United States (Police Executive Research Forum [PERF], 2013; Wilson & Grammich, 2012; Wilson & Heinonen, 2012; Wilson & Weiss, 2012). These included budget and workforce reduction, consolidation, and even organizational disbanding. Further compounding these challenges, over tim...

This paper proposes several network construction methods for collections of scarce scientific literature data. We define scarcity as lacking in value and in volume. Instead of using the paper’s metadata to construct several kinds of scientific networks, we use the full texts of the articles and automatically extract the entities needed to construct the networks. Specifically, we present seven k...

Introduction Uranium and cobalt do not form a binary compound with the hexagonal Th2Ni17-type crystal structure but this structure can be stabilized by a small substitution of Co by a third element, e.g. Si or Ge [Berlureau et al., 1993; Chevalier et al., 1996; Shiokawa et al., 1994]. The homogeneity range extends from x = 1.3 to 3 in the U2Co17-xGex system [Chevalier et al., 1996]. The related...

In this paper, we present a dictionary based classification approach for salt dome detection using texture based attributes. The proposed algorithm overcomes the drawbacks of existing texture attributes based salt dome detection techniques which are heavily dependent upon the relevance of attributes to the geological nature of salt domes and the number of attributes used for classification. The...

A colour texture segmentation method which unifies region and boundary information is presented in this paper. The fusion of several approaches which integrate both information sources allows us to exploit the benefits of each one. We propose a segmentation method which uses a coarse detection of the perceptual (colour and texture) edges of the image to adequately place and initialise a set of ...

We present results on the relation discovery task, which addresses some of the shortcomings of supervised relation extraction by applying minimally supervised methods. We describe a detailed experimental design that compares various configurations of conceptual representations and similarity measures across six different subsets of the ACE relation extraction data. Previous work on relation dis...

In this study, an efficient feature fusion based technique for the classification of colour texture images in VisTex album is presented. Gray Level Co-occurrence Matrix (GLCM) and its associated texture features contrast, correlation, energy and homogeneity are used in the proposed approach. The proposed GLCM texture features are obtained from the original colour texture as well as the first no...

A novel approach identifying and segmenting skin regions within images is presented in this paper. The identification and recognition of facial regions are a central focus of this work. A set of standard images containing facial/skin objects is first manually segmented into the interested regions. These regions are utilized in the training the system. Dominant color features (i.e., the most fre...